html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/3245#issuecomment-662602111,https://api.github.com/repos/pydata/xarray/issues/3245,662602111,MDEyOklzc3VlQ29tbWVudDY2MjYwMjExMQ==,3460034,2020-07-22T18:03:51Z,2020-07-22T18:03:51Z,CONTRIBUTOR,"> One question about `as_numpy`: should it convert `pint` arrays into NumPy by stripping units? Or should it convert the arrays underlying pint and keep the units? I guess the first would probably make more sense for `DataArray.as_numpy()`. The second behavior could be achieved with `DataArray.pint.as_numpy()`.

This brings up a point I was wondering about as well: how should these `as_*()` methods relate to multiply-nested arrays? (Not sure if best to discuss that here or new issue.)","{""total_count"": 2, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 1}",,484240082